reddit refugee

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Joined 1 year ago
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Cake day: June 11th, 2023

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  • I would love to see a car company create a vehicle platform with battery replacements central to the design of the car. Make larger packs out of smaller units so their larger models (or simply longer range models) simply use more of the smaller pack units. Recycle old packs back into making newer ones to reduce the need to mine more materials.

    Sure, charge me enough on the replacement to keep this cycle going. Buying a car you know will get battery (and therefore range) upgrades as time goes on is a no-brainer.

    Imagine the goodwill and free word-of-mouth advertising you would receive if you went the extra mile and open sourced all the software for the vehicle and allowed users to modify it if they wanted. Make the car not look like dogshit and I imagine you’d do well.


  • “Adobe does not train Firefly Gen AI models on customer content. Firefly generative AI models are trained on a dataset of licensed content, such as Adobe Stock, and public domain content where copyright has expired.”

    This references a single particular product. lol. If they’re training a model by a different name with customer data, it would still be a true statement.

    The points about lawyers and NDA’s hit the nail on the head. I thought something similar with the Windows Recall debacle. That’s a juicy set of data for anyone looking to find journalist sources or scrape a hospital’s network. In every case it relies on the end user (business or individual) to know how to disable those features with GPOs/registry options… There’s no way 100% of them realize the issue and have the knowledge to fix it.






  • I’m a systems administrator, not a programmer. Like I said, quick scripts. An LLM could probably parse my comment better than you, evidently.

    Comparing a language model to an idiot is unfair to the idiot.

    Oof… Was this in reply to my bit about better grammar and ESL individuals?

    A normal search engine works for everything else.

    Fuck no. Especially the python visualization point.

    Any well-defined query I’ve ever made of an LLM has resulted in hilariously bad results, but I suppose I was expecting it to do something that I couldn’t already do better myself.

    I suppose you’re just a god among men then. For the rest of us, it’s useful and you’ve been given plenty of good answers to your disingenuous question.



  • This question betrays either your non-use or misuse of the products available. You’re either just reading the headlines of the screw-ups or you’re just bad at using the tool.

    To directly answer your question:

    • Quick scripts in a variety of languages. Tested before being used on real data/systems.
    • Creating visual graphs of data in python and Jupyter notebooks with no prior knowledge of python itself or the tools it’s running. In this case, I was able to update the way I wanted it to look in natural language, have it suggest code changes, and immediately try them in the notebook with great results.
    • Improving the sentiment of correspondence. Proofread before sending. It has better grammar and flow than a surprising number of correspondences I’ve come across at work. Sure, English may be their second language but it doesn’t change the fact.
    • Quickly finding documentation pertaining to the query which, yes, you need to go read to verify any answers any LLM provides. Anyone using it regularly should know this by now.
    • Quick “do this in command line. What options are required” which is then immediately tested.
    • In one case, a news story was referenced in passing in a podcast I listen to. It stuck with me days later and I wanted to find actual articles written about it. I was able to describe what I was looking for in natural language and included as many details as I could remember and asked it to find articles for me. I found exactly what I was after.

    But were you actually looking for a real response to your question?